Senior Machine Learning Engineer - AI Platform
Tasks
- Analyze HR and Finance text data
- Build information retrieval systems
- Build recommendation systems
- Deploy LLM and RAG solutions
- Design ML pipelines
- Develop and deploy model APIs and services
- Develop cloud ML architectures
- Ensure scalability
- Evaluate model performance
- Implement ML services
- Improve observability
- Lead and mentor engineers
- Maintain model lifecycle management
- Own ML platform features
Perks/Benefits
Skills/Tech-stack
AWS | Autonomous Agents | Deep learning | Docker | Fine Tuning | GCP | Graph Neural Networks | Information Retrieval | Kubernetes | Language Models | Language Processing | Language Understanding | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | Natural Language | Natural Language Processing | Natural Language Understanding | Neural Networks | Pandas | PySpark | PyTorch | Python | RAG | Scikit-learn | Statistical Analysis | TensorFlow
Education
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